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An efficient multi objective optimization approach for robust tuning of power system stabilizers

机译:一种有效的多目标优化方法,可实现电力系统稳定器的鲁棒调谐

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This paper presents the robust tuning of power system stabilizer (PSS) with modified harmony search (MHS) algorithm. The problem of selecting appropriate design parameters of PSS is formulated as an optimization problem with minimization of eigenvalue based multi objective function. This objective function is optimized to alleviate the poorly damped or unstable oscillatory modes of the power system in order to meet the guaranteed stability. The proposed design of PSS under large disturbances includes the Integral of Time Square Error (ITSE) index in the objective function. The performance of proposed modified harmony search based PSS (MHSPSS) and robust modified harmony search based PSS (RMHSPSS) under different operating conditions and disturbances are investigated for Single Machine Infinite Bus (SMIB) system. The effectiveness of the approach is demonstrated with eigenvalue analysis and nonlinear time domain simulations for the given system.
机译:本文提出了具有修改的和声搜索(MHS)算法的电力系统稳定器(PSS)的强大调整。选择PSS的适当设计参数的问题被制定为具有基于特征值的多目标函数的最小化问题。该目标函数经过优化,以减轻电力系统的衰退或不稳定的振荡模式,以满足保证稳定性。在大扰动下提出的PSS设计包括目标函数中的时间方误差(ITSE)索引的积分。对于单机无限总线(SMIB)系统,研究了在不同操作条件和干扰下基于修改的和谐搜索的PSS(MHSPS)的PSS(MHSPS)的PSS(MHSPS)和鲁棒修改和谐搜索的PSS(RMHSPS)的性能。对给定系统的特征值分析和非线性时域模拟来证明该方法的有效性。

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